Results 51 to 60 of about 105,330 (339)
Donut Regression Discontinuity Designs
, 2023 We study the econometric properties of so-called donut regression discontinuity (RD) designs, a robustness exercise which involves repeating estimation and inference without the data points in some area around the treatment threshold. This approach is often motivated by concerns that possible systematic sorting of units, or similar data issues, in some
Noack, Cladia, Rothe, Chistoph
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Regression discontinuity design with multivalued treatments
Journal of Applied Econometrics, 2023 SummaryWe study identification and estimation in the regression discontinuity design with a multivalued treatment. We show that heterogeneity in the first stage discontinuities can be used for the identification of the marginal treatment effects under an alternative assumption, namely, the homogeneity of the LATEs along some covariates. This assumption
Caetano, Carolina +2 more
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Mechanoregulatory Effects of Cell‐Scale Microwells on Epithelial Cell Phenotype
Advanced Functional Materials, EarlyView.In small polycaprolactone microwells, A549 epithelial cells span well edges, in contrast to cells growing on flat substrates. Focal adhesion sites (yellow) concentrate at topographic boundaries, while cytoskeletal tension (magenta stress fibers) is transmitted to the nucleus (blue), reducing nuclear sphericity.
Ruiwen He +10 more
wiley +1 more source
Journal of Causal Inference, 2015 In the Regression Discontinuity (RD) design, units are assigned a treatment based on whether their value of an observed covariate is above or below a fixed cutoff.
Cattaneo Matias D. +2 more
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Advanced Functional Materials, EarlyView.Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco +7 more
wiley +1 more source
Introduction to Regression Discontinuity Design
Annals of Clinical Epidemiology, 2022 It is common clinical practice for physicians to refer to specific diagnostic criteria for day-to-day decision-making. In particular, whether or not to provide a particular treatment is often determined by the cutoff value of a relevant diagnostic marker.
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Regression discontinuity designs in healthcare research [PDF]
BMJ, 2016 Clinical decisions are often driven by decision rules premised around specific thresholds. Specific laboratory measurements, dates, or policy eligibility criteria create cut-offs at which people become eligible for certain treatments or health services. The regression discontinuity design is a statistical approach that utilizes threshold based decision
Atheendar S, Venkataramani +2 more
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Advanced Functional Materials, EarlyView.We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun +11 more
wiley +1 more source
Bayesian model averaging for nonparametric discontinuity design.
PLoS ONE, 2022 Quasi-experimental research designs, such as regression discontinuity and interrupted time series, allow for causal inference in the absence of a randomized controlled trial, at the cost of additional assumptions.
Max Hinne +3 more
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Cultural Values as Contributors to Latinx Student Grades
International Journal on Studies in Education, 2023 Cultural discontinuity, or the misalignment of learning processes based on cultural values practiced at home and at school, is one factor that has been explored in the educational experiences of racial/ethnic minority students. The purpose of the current
Amanda Taggart
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